Triple

T3683098
Position Surface form Disambiguated ID Type / Status
Subject Südwestsachsen region E78156 entity
Predicate contains P35 FINISHED
Object Plauen E75799 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Plauen | Statement: [Südwestsachsen region, contains, Plauen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plauen
Context triple: [Südwestsachsen region, contains, Plauen]
  • A. Plauen chosen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • B. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • C. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • D. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • E. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b86de88190bf4d39aae48ef930 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.